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lutz, marc-alexander vogt, stephan berkhout, volker faulstich, stefan dienst, steffen steinmetz, urs gück, christian ortega, andres
The usage of machine learning techniques is widely spread and has also been implemented in the wind industry in the last years. Many of these techniques have shown great success but need to constantly prove the expectation of functionality. This paper describes a new method to monitor the health of a wind turbine using an undercomplete autoencoder....
Lievens, R.A. (author)
Marine contractors deal with processes that are understood qualitatively but are hard to quantify. The amount of data available for these processes is ever growing, and so too the intrinsic value that lies within this data. Several data driven model approaches can be used to analyse this process data, one being a Bayesian Network (BN) approach. A B...
